In education as in any other sphere it is important to have a solid basis to make future decisions and implement new tools and methods. But how to obtain reliable results? Through analytics and interpretation of big data, that is of all the data available about a certain educational institution or institutions.
Every click you make, every link you visit, every project you submit is recorded and stored. Your personal information as a learner/user is gathered (Information such as your age, gender, GPA, history from previous educational institutions, your exam results and your attendance). They are compared and correlated. So, if obvious patterns of performance and/or behaviors emerge, they can help teachers/ administrations make predictions and base decisions on this.
The value of analytics in education consists in its influence on decision making for future activities in teaching, in identifying at-risk students and providing assistance to them before they get in trouble, in providing an overall picture of institution’s strengths and challenges, and many more. If you are interested to dig this issue deeper, check this article out.
Horizon reports on K-12 and Higher Education suggest that based on big data analytics you can predict what will be “trendy” in education in 1, 2, 3 or 5 years’ time. For example, in a couple of year’s time blended learning will be more popular in higher education and K-12 will reconsider their teaching and learning practice shifting to deeper learning approaches. Some of the challenges will be improving digital literacy level in higher educational context and personalizing teaching in K-12. So, if you want to be ahead of time and get ready for the coming changes as a teacher or a learner, go ahead and read the articles.